Diagnostic Imaging's Weekly Scan: January 25 — January 31

Welcome to Diagnostic Imaging’s Weekly Scan, which offers an opportunity to catch up on the most well-viewed radiology content of the past week.

Employing latent profile analysis (LPA) to help assess body fat distribution patterns, the authors of a new study in the Radiology journal found that a pancreatic-predominant profile with elevated proton density fat fraction derived from MRI was associated with extensive gray matter atrophy and cognitive decline.

In a comparative study published in the Lancet and involving over 105,000 women, researchers found the use of adjunctive AI for mammography triage resulted in a 16 percent lower rate of invasive interval cancers in comparison to double reading by radiologists without AI.

For young women with breast cancer, peritumoral edema on pre-op breast MRI was associated with over a 3.6-fold higher likelihood for reduced disease-free survival, according to new research published in Clinical Imaging.

New prospective research shows the use of 5T prostate MRI offered significantly higher signal-to-noise ratio (SNR) than 3T prostate MRI as well as enhanced delineation with T2-weighted and diffusion-weighted imaging,

Employing AI-powered automation, the newly FDA-cleared MIM LesionID™ Pro software reportedly bolsters the efficiency of whole-body tumor burden analysis with PSMA PET/CT and SPECT/CT.